Spatial Models for Wide-Area Visual Surveillance: Computational Approaches and Spatial Building-Blocks
作者:Richard J. Howarth
摘要
Spatial models play a key role when interpreting a dynamic and uncertain world for a wide-area surveillance application. This paper presents two different views to illustrate the range of spatial models. First, we take a top-down look, where we survey various work relevant to the development of spatial models and how they have been used in AI applications. Then we take a more bottom-up look, starting with a promising spatial primitive to identify a useful foundation that can support visual surveillance applications.
论文关键词:cellular topology, high-level computer vision, spatial reasoning, spatial representation, surveillance
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论文官网地址:https://doi.org/10.1007/s10462-004-4103-5